Data and analytics jobs in Auckland.

Analyzing health data · Providing technical advice · Engaging stakeholders

Relevant graduate/post-graduate qualification in Pacific health, IT, health informatics, statistics or related field; experience in data analysis and reporting; proficiency in Microsoft Excel, Power BI, Qlik, Snowflake; understanding of Te Tiriti o Waitangi and Pacific cultural contexts.

Building analytical solutions · Delivering financial analysis · Automating reporting processes

Hands-on experience with SQL, Python, Power BI and DAX; experience building data models, data assets, dashboards and analytical solutions; experience with modern data architecture and large enterprise datasets; advanced Excel, including Power Query and data modelling

Analyzing health data · Providing technical advice · Engaging stakeholders

Relevant graduate/post-graduate qualification in Pacific health, IT, health informatics, statistics or related field; experience in data analysis and reporting; proficiency in Microsoft Excel, Power BI, Qlik, Snowflake; ability to implement Te Tiriti o Waitangi.

Analyzing datasets · Building dashboards · Translating analysis into insights

2+ yrsAt least 2 years’ experience in a data-focused role; strong SQL, Power BI and data analysis skills; a relevant degree or equivalent experience

Building data pipelines · Improving data quality · Supporting platform infrastructure

Strong SQL skills; experience using Python; understanding of data pipelines and common failure points

Setting technical standards · Designing data solutions · Coaching data teams

Enterprise cloud data/analytics delivery experience; advanced data engineering, analytics engineering, modelling and warehousing knowledge; Snowflake, dbt, Power BI, Azure or comparable technology experience; demonstrated technical leadership; tertiary qualification or equivalent relevant experience.

Delivering reporting · Analyzing data · Improving processes

Experience in business analysis, reporting, data analytics or operational support; strong Excel and Power BI skills; ability to analyze data and improve reporting processes; understanding of governance and compliance controls.

Producing reports · Analyzing data · Building dashboards

4+ yrsAt least 4 years in data analysis, credit risk reporting, or quantitative analysis; strong SAS or SQL and Power BI experience; knowledge of credit products and risk concepts; relevant qualification in data analytics, statistics, mathematics, economics, business, finance, or equivalent practical experience.

Extracting data · Building reports · Analyzing business problems

7+ yrs7-16 years experience; strong SQL, Power BI, Python, Excel; retail IT experience in NZ; marketing/customer/competitor analytics; presenting insights to senior business users; excellent communication.

Leading data teams · Driving analytics delivery · Partnering with stakeholders

Significant people leadership experience in a data, analytics or technology environment; experience leading multidisciplinary teams across data engineering, analytics, reporting or data science; strong knowledge of modern data platforms and analytics practices; experience managing roadmaps, priorities, risks and stakeholder expectations

Delivering remediation services · Analyzing large datasets · Reviewing modelling outputs

3+ yrs3–5 years’ strong working knowledge of the NZ Holidays Act and its interaction with business systems and processes; advanced data analytics and modelling skills; familiarity with ETL frameworks and tools such as Alteryx and Microsoft SSIS

Analyzing customer data · Creating insight reports · Monitoring market trends

Relevant quantitative, business, economics or related degree, or equivalent experience; good Excel skills; some familiarity with SQL or a business-intelligence tool, or willingness to learn

Building data pipelines · Developing AI applications · Optimizing data workflows

Bachelor's degree in Computer Science, IT, Engineering or related field; strong Python and SQL programming; experience with data pipelines, APIs, databases; familiarity with AI technologies and software engineering best practices.

Leading governance framework · Translating policies · Driving responsible AI

Experience leading data governance, information governance, data risk, assurance or compliance functions; strong knowledge of governance frameworks, privacy, and responsible AI; ability to translate policies into practical processes; experience in assurance, audit, or remediation.

Defining data architecture · Leading engineering excellence · Shaping data products

Experience leading data architecture, data engineering, platform engineering or engineering excellence; expertise in data architecture, data modelling, modern data platforms; ability to establish engineering standards and governance frameworks; influence stakeholders; enable enterprise data platforms and large-scale transformation.

Leading data product delivery · Guiding cross-functional teams · Driving migration initiatives

Experience leading end-to-end delivery of data, analytics, AI or technology products; product lifecycle management; cross-functional team leadership; business insights delivery; continuous improvement mindset.

Leading change initiatives · Supporting delivery squads · Developing change strategies

Experience leading organisational change in complex transformation, technology or business environments; strong stakeholder engagement; Agile delivery experience; practical and adaptable approach; ability to balance strategic thinking with hands-on delivery.

Coordinating change activities · Supporting stakeholder engagement · Tracking project progress

Experience supporting change, transformation, project delivery or business improvement; strong organisational and communication skills; experience with reports, metrics, presentations or coordination; curiosity about AI.

Scaling data pipelines · Building AI applications · Translating business requirements

Bachelor's degree in Computer Science, IT, Engineering or related field (or equivalent practical experience); strong Python and SQL programming; experience building data pipelines, working with APIs, and managing databases; familiarity with generative AI, LLMs, and AI APIs; solid software engineering best practices including testing, version control, deployment, and data security/privacy.

Analyzing category data · Preparing P&Ls · Supporting pricing analysis

1+ yr1-3+ years in category, commercial analytics, sales support, trade marketing, business analytics, finance or related; advanced Excel; strong analytical and commercial acumen; experience with large datasets; bachelor's degree in business, commerce, analytics, economics, finance, marketing or related preferred.

Providing analysis · Developing reports · Mentoring colleagues

7+ yrsRelevant tertiary qualification in business analysis, data science, statistics or related field; 7-10 years analytics experience; advanced Power BI, Qlik, SQL, Excel; strong stakeholder engagement; mentoring experience.

Designing data solutions · Building ETL processes · Implementing reconciliation engines

Experience in data engineering and business analysis, including data integration, ETL and data modelling; hands-on Snowflake, dbt, Python and SQL; knowledge of Git, CI/CD, Octopus Deploy and Azure Storage; experience with cloud-based and on-premises data systems

Analysing data issues · Performing root cause analysis · Building data quality dashboards

2+ yrs2+ years’ experience in Data Management, Data Analysis, or similar; strong understanding of data management tools and methodologies

Managing reconciliation activities · Investigating data discrepancies · Developing reporting tools

Experience in data analysis, process development or process improvement; confidence using Excel, Databricks, SQL, Python and Power BI

Delivering reporting solutions · Translating data insights · Designing self-service dashboards

Designing complex challenges · Authoring ground-truth solutions · Auditing AI-generated code

Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field (or pursuing one); expertise in supervised or unsupervised learning, deep learning, big data technologies, or NLP

Setting engineering direction · Enabling technical leaders · Building data capability

Significant enterprise-scale data engineering leadership experience; deep modern data architecture and engineering knowledge; experience setting data standards, building governed data products, improving engineering maturity and guiding enterprise data platforms